The Open UniversitySkip to content
 

Open learning at a distance:lessons for struggling MOOCs

McAndrew, Patrick and Scanlon, Eileen (2013). Open learning at a distance:lessons for struggling MOOCs. Science, 342 pp. 1450–1451.

Full text available as:
[img] PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (297kB)
DOI (Digital Object Identifier) Link: https://doi.org/10.1126/science.1239686
Google Scholar: Look up in Google Scholar

Abstract

Free education is changing how people think about learning online. The rise of Massive Open Online Courses (MOOCs) (1) shows that large numbers of learners can be reached. It also raises questions as to how effectively they support learning (2). There is a timeliness in the introduction of MOOCs, reflecting the right combination of online systems, interest from good teachers in reaching more learners, and banks of digital resources, predicted as a “perfect storm of innovation” (3). However, learning at scale, at a distance, is not a new phenomenon. Seeing MOOCs narrowly as a technology that expands access to in-classroom teaching can miss opportunities. Drawing on decades of lessons learned, we set out aims to help spur innovation in science education.

Item Type: Article
Copyright Holders: 2013 The American Association for the Advancement of Science
ISSN: 1095-9203
Keywords: massive open online courses; open learning; distance education; tutors and tutoring; internet in education
Academic Unit/School: Learning Teaching and Innovation (LTI)
Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Item ID: 39736
Depositing User: Eileen Scanlon
Date Deposited: 17 Mar 2014 09:33
Last Modified: 08 Feb 2017 23:24
URI: http://oro.open.ac.uk/id/eprint/39736
Share this page:

Altmetrics

Scopus Citations

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk